Georgia Institute of Technology

Dr. Skolnick Lab: AI assisted cancer drug discovery using generative NLP and Deep Learning Algorithms.

PhD Student - AI Cancer Drug Discovery

Lab Rotation - Dr. Coskun Lab

TA - Bio Statistics

Liverpool John Moores University

𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁: Every minute our Genes are replicated in the form of cells. Not all genes replicate simultaneously. They have replication biomarkers and chromosomes near biomarkers replicate first. The chromosomes away from biomarkers replicate later and faster, which is directly proportional to the mutation rate.

Project 1: Genome study to predict cancer

𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁: People with blindness face a problem of not being able to see and enjoy the beauty of pictures and images. With a rise in social media, even blind people wish to see the world around them.

Project 2: Eye for Blind

𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁 The sensitivity metric of detecting prostate cancer from stained tissue specimens of Haematoxylin and Eosin based on Tumor structural growth pattern, is very low and time taking.

Project 3: Detecting prostate cancer from histopathology images of cancer

University of Pittsburgh School of Medicine

Interned under Dr. Jianhua Xing in Xing lab for their on-going projects.

Lab Intern 

Cancer Clarity LLC

1. Built structured and unstructured chemistry data sets to define phenotypes for genetic association analysis and related activities. 
2. Collaborated with investigators to establish clinical data workflows for established and emerging studies.
3. Studied and investigated emerging research publications to learn various methodologies. 
4.Participated in drug discovery group projects, including research, curate, and prepare computational chemistry data sets.
5. Designed the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability.
6. Explored and Visualized data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.

Junior Data Scientist

NIPER Guwahati

Interned under Dr. Awanish Mishra for their on-going Alzheimer's and Epilepsy disease research.

Research Intern

International Institute of Information Technology Bangalore

Graduate Student

𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝘀𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁:In bio-medical data, the probability of acquiring a disease, for example cancer, is 0.01%, as opposed to the probability of not acquiring it. The models tend to overfit on the majority class and learn the behaviour pattern of the same.

Project 1: Synthetic Data Generation and DeGeneration

𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭 : Due to shortage of nurses around the world, patients with serious illnesses require 24/7 monitoring and care. This can be very expensive.

Project 3: Gesture Recognition for Hospital patients

𝘤𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘪𝘰𝘯 𝘸𝘪𝘵𝘩 𝘋𝘳. 𝘈𝘯𝘬𝘶𝘳 𝘊𝘩𝘢𝘯𝘥𝘳𝘢
𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝘀𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁: Every Brain MRI takes about 30 mins, because all 6 sequences T1, T2, FLAIR, DWI, GRE, ADC need to be generated. This increases the cost for the patients.

Project 2: Synthetically generate 5 sequence brain MRI scans from T1

GoodFirms

Over-view of key responsibilites

1)Conducted extensive research on website visitors and average session duration in the IT sector Collected, Cleaned and provided modelling and analysis of structured and unstructured data. Managed the planning and development of design and procedure for metric reports.
2) Perform market analysis to efficiently achieve objectives, increased sales by 24%.
3) Present data insights and conclusions to team to improve strategies and operations.
Managed to predict the forecast of daily visitors on the website and vendors signups, resulting in 40% decrease in advertising and operations cost.

Optimization & Algorithm Development

1) Developed an effective calendar for the website which will automatically send offers depending on the time of the month and the type of customer
2) Applied various statical techniques to infer visitors characteristics and maximize profits.
3) Deployed multiple loss minimization & optimisation techniques by automating extra bonuses to clients leaving our customer base.
4) Performed EDA on various factors for the visitors to convert into client database.
5) Gathered pricing data from different aggregators by performing web scraping in Python for competitive analysis.
6) Led the development of a company's price assessment system to be offered to the public.
7) Spearheaded a team of 4 data scientists to create a recommendation engine to suggest an ideal cluster price for various identified hotel segments.

Key Achievements

1) Deployed Python Pandas to develop a customer segmentation algorithm for boosting sales leads and increasing market share by 28%
2) Utilized data mining techniques to resolve a website branding issues & achieve a cost reduction of INR 1 million in public image marketing cost
3) Achieved an MoM 14% increase in revenue through the application of dynamic pricing
4) Successfully achieved a 10% loss reduction of monthly revenue by implementing loss minimization techniques

Data Analyst

Avian

• Increased sales by 50 lakhs in total revenue year on year. 
• Introduced and started a new section of Builder projects, whereby successfully completed projects 
   with DLF, Adani Group, Emaar India, Lodha Group.
•  Prepare Proposal for potential Sales opportunity , smooth  payments & terms.
•  Consult and execute the whole marketing funnel with wealthy clients from design to execution and later customer service. 
•  Increased retail presence by 200% with strong brand recall

Head Of Sales

“𝗜𝗳 𝗬𝗼𝘂 𝗔𝗿𝗲 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗢𝗻 𝗦𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗧𝗵𝗮𝘁 𝗬𝗼𝘂 𝗥𝗲𝗮𝗹𝗹𝘆 𝗖𝗮𝗿𝗲 𝗔𝗯𝗼𝘂𝘁, 𝗬𝗼𝘂 𝗗𝗼𝗻'𝘁 𝗛𝗮𝘃𝗲 𝗧𝗼 𝗕𝗲 𝗣𝘂𝘀𝗵𝗲𝗱. 𝗧𝗵𝗲 𝗩𝗶𝘀𝗶𝗼𝗻 𝗣𝘂𝗹𝗹𝘀 𝗬𝗼𝘂.”– Steve Jobs

This quote adequately describes me.

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